Research on Analysis System for Trace hydrogen sulfide content Based on threshold method of Heursure De-noising and TDLAS

DOI

10.2991/icmmita-16.2016.76How to use a DOI?

Keywords

Mallat fast algorithm; TDLAS Technology; Heursure threshold; Hydrogen sulfide; Measurement accuracy; concentration detection.

Abstract

In this paper, an analysis system for trace hydrogen sulfide is given in this paper since traditional hydrogen sulfide pollution monitoring technique has such defects as high costs, cumbersome process and bad real time performance. Samples of natural gas can be taken for analysis by using a TDLAS zero-contact technique. H2S components can be separated by Mallat wavelet algorithm. It reduces signal noise effectively by applying the Heursure threshold method, so that the pollutants will not affect the accuracy of the system measurement. Experimental results show that detection of the maximum error of this analysis system is only 5%. Compared with other methods, experimental results show that this system has a higher response speed. Its high response speed which reflects in time the change of concentration of hydrogen sulfide helps people to control the production status.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Taoyi Xu
AU  - Cheng Zhong
PY  - 2017/01
DA  - 2017/01
TI  - Research on Analysis System for Trace hydrogen sulfide content Based on threshold method of Heursure De-noising and TDLAS
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 419
EP  - 423
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.76
DO  - 10.2991/icmmita-16.2016.76
ID  - Xu2017/01
ER  -